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Pooja is a Data Science Instructor at Lambda. She also does Independent Consulting in engineering research & data-driven analytics. Pooja received a MEng from University of Toronto, and a PhD from Ryerson University.

Vignesh is a one of BloomTech's data science Instructors. He is also a full-time data science at Data Society. Previously, he was a senior quantitative analyst at Bank of America and a quantitative analyst at the Federal Reserve Bank of New York. Vignesh received an M.Eng. in Systems Engineering from the University of Virginia and a B.B.A. from Emory University’s Goizueta Business School.

Catanzarite holds Masters Degrees in Physics (University of Arizona) and Electrical Engineering (University of Southern California). He obtained a BSc in Mathematics at the California Institute of Technology (Caltech).

After initially working as an Electronics Engineer at Rockwell International, he joined the faculty at Cypress Community College in North Orange County, California, where he served as Professor of Physics and Astronomy and Chair of the Natural Sciences Department.

While teaching, he embarked on a career in astrophysics research, starting with a sabbatical at The Observatories of the Carnegie Institution of Washington, where he measured the distance to the galaxy NGC 247. A second sabbatical at Caltech's Infrared Processing Center, working on NASA's ill-fated Wide-Field Infrared Explorer (WIRE) mission inspired him to become an astronomer, and he left Cypress College to accept a staff position at Caltech. He worked as Project Staff Scientist on NASA’s Space Interferometry (SIM) Mission at the Jet Propulsion Laboratory in Pasadena, CA.  He then joined SETI Institute in Mountain View, CA as a Data Scientist / Astronomer, working on NASA's Kepler planet-finding mission as a Science Team member.

After the conclusion of the Kepler mission, Catanzarite returned to teaching as a Data Science

Instructor, first at Make School, and now at BloomTech School.  He feels strongly aligned with BloomTech School’s driving vision, to make technology careers accessible to all.

Prior to joining the faculty at BloomTech School, Catanzarite organized and led AI-focused study groups for online communities "This Week in Machine Learning and AI" (TWiML&AI), "fast.ai", and "Machine Learning Tokyo" (MLT), and volunteered as a Data Scientist at DataKind.

Brian (Lingchuan) Hu is currently a lead data scientist in Data Analytics Spoke in the Chief Administration Office (CAO) at USAA, a fortune 100 company that provides a full spectrum of financial services to the customers. Brian leverages a variety of machine learning techniques to build data science solutions for the various departments within CAO, with the ultimate goal of increasing operational efficiencies, reducing expenses as well as minimizing the operation related risks.

Previously he was a lead modeling analyst at Enterprise Modeling team within Treasury, CFO. He leads multiple model development projects including model development and implementation for capital and regulatory purposes (Economic Capital, Bank/Enterprise Stress Testing). Brian also helped lead many other projects, including (Enterprise Finance) COE model standard and guideline development. Prior to that Brian worked as a Sr. Quant Risk Analyst at Modeling Risk Management. He worked on a variety of model validation projects to identify key risks for financial models used in USAA, including P&C models, operational risk models, investment models, market risk models and member demographic models. He also contributed to several external validation projects.

Prior to joining USAA, he worked 3 years as Sr. quantitative risk modeler in the CCAR (Comprehensive Capital Analysis and Review) department, Chief Risk Office at M&T Bank. He was involved in building a variety of stress testing models, including commercial and residential loan credit risk (PD, LGD, EAD) models, operational risk model as well as PPNR models.

Brian holds a Ph.D. in Biostatistics from the University of Texas Health San Antonio, and Master of Science in Computational Finance from University of Washington.

Rachel manages the career coaching team at BloomTech, which supports all graduates in landing high-paying tech roles. Before BloomTech, she built up the career and placement function at the Data Science Institute at Columbia University. Her past life is in technical recruiting, by way of Axiom Law & HBO. Connect about anything job search, podcast, or sweet-tooth related.

Marygrace came to BloomTech after 8 years of working in traditional university settings with learners of all ages and backgrounds. She earned a Master's degree in Education at San Francisco State University, and has a deep interest in equity in education. Who has access to the tools and skills to build a better life? How do we address inequities and build a world where all can thrive? BloomTech fits perfectly in this view - creating opportunities for folks to change their life circumstances. In her spare time, she hangs out with her spouse and two kids, plays computer games, and crochets.

Cynthia manages operations for the Learner Success Team at BloomTech which supports Learners as they optimize their learning potential. Prior to joining BloomTech she worked in student affairs for 15 years building academically-based retention programs for universities and K-12 districts. She earned a Master's degree in Education at Portland State University focusing on creating collaborative, sustainable practices that advance equity and social justice in communities. She lives in the Atlanta area with her husband and two daughters.